Access the full text.
Sign up today, get DeepDyve free for 14 days.
H. Sutherland, G. Lockwood, D. Tritchler, F. Sem, L. Brooks, J. Till (1991)
Communicating probabilistic information to cancer patients: is there 'noise' on the line?Social science & medicine, 32 6
A. Alhakami, P. Slovic (1994)
A psychological study of the inverse relationship between perceived risk and perceived benefit.Risk analysis : an official publication of the Society for Risk Analysis, 14 6
Ido Erev, B. Cohen (1990)
Verbal versus numerical probabilities: Efficiency, biases, and the preference paradox☆Organizational Behavior and Human Decision Processes, 45
George Wright, L. Phillips, P. Whalley, Gerry Choo, Kee-Ong Ng, I. Tan, A. Wisudha (1978)
Cultural Differences in Probabilistic ThinkingJournal of Cross-Cultural Psychology, 9
Hohenemser Hohenemser, Renn Renn (1988)
Chernobyl's other legacy: Shifting public perceptions of nuclear riskEnvironment, 30
C. Vlek, P. Stallen (1981)
Judging risks and benefits in the small and in the largeOrganizational Behavior and Human Performance, 28
T. Wallsten, D. Budescu, A. Rapoport, R. Zwick, B. Forsyth (1986)
Measuring the Vague Meanings of Probability TermsJournal of Experimental Psychology: General, 115
R. Hamm (1991)
Selection of verbal probabilities: A solution for some problems of verbal probability expression.Organizational Behavior and Human Decision Processes, 48
A. Rapoport, T. Wallsten, Ido Erev, B. Cohen (1990)
Revision of opinion with verbally and numerically expressed uncertaintiesActa Psychologica, 74
W. Brun, K. Teigen (1988)
Verbal probabilities: Ambiguous, context-dependent, or both?Organizational Behavior and Human Decision Processes, 41
V. Clarke, C. Ruffin, David Hill, Arthur Beamen (1992)
Ratings of Orally Presented Verbal Expressions of Probability by a Heterogeneous SampleJournal of Applied Social Psychology, 22
V. Reyna (1981)
The language of possibility and probability: Effects of negation on meaningMemory & Cognition, 9
D. Budescu, T. Wallsten (1990)
Dyadic decisions with numerical and verbal probabilitiesOrganizational Behavior and Human Decision Processes, 46
Eric Stone, J. Yates, A. Parker (1994)
Risk communication: absolute versus relative expressions of low-probability risksOrganizational Behavior and Human Decision Processes, 60
E. Weber, Carolyn Anderson, M. Birnbaum (1992)
A Theory of Perceived Risk and Attractiveness
B. Drottz-Sjöberg, L. Sjöberg (1990)
Risk perception and worries after the chernobyl accidentJournal of Environmental Psychology, 10
K. Teigen (1988)
When are low-probability events judged to be ‘probable’? Effects of outcome-set characteristics on verbal probability estimatesActa Psychologica, 67
S. Lichtenstein, J. Newman (1967)
Empirical scaling of common verbal phrases associated with numerical probabilitiesPsychonomic Science, 9
F. Irwin, J. Snodgrass (1966)
Effects of independent and dependent outcome values upon bets.Journal of experimental psychology, 71 2
J. Bell (1988)
Institutions: Environmental Policy InstituteEnvironment, 30
C. Vlek, P. Stallen (1980)
Rational and personal aspects of riskActa Psychologica, 45
B. Verplanken (1989)
Beliefs, Attitudes, and Intentions toward Nuclear Energy before and after Chernobyl in a Longitudinal within-subjects DesignEnvironment and Behavior, 21
F. Irwin (1953)
Stated expectations as functions of probability and desirability of outcomes.Journal of personality, 21 3
K. Teigen, W. Brun, P. Slovic (1988)
Societal risks as seen by a Norwegian publicJournal of Behavioral Decision Making, 1
A. Parducci (1968)
Often is often.American Psychologist, 23
H. Delaney, T. Wallsten (1977)
Probabilistic information processing: Effects of a biased payoff matrix on choices and bidsOrganizational Behavior and Human Performance, 20
Johnson Johnson, Tversky Tversky (1984)
Representations of risksJournal of Experimental Psychology: General, 113
C. Hohenemser, Ortwin Renn (1988)
Shifting Public Perceptions of Nuclear Risk: Chernobyl's other LegacyEnvironment, 30
O. Svenson (1975)
A unifying interpretation of different models for the integration of information when evaluating gambles.Scandinavian journal of psychology, 16 3
Baruch Fischhoff, P. Slovic, S. Lichtenstein, S. Read, Barbara Combs (1978)
How safe is safe enough? A psychometric study of attitudes towards technological risks and benefitsPolicy Sciences, 9
M. Hakel (1968)
How often is oftenAmerican Psychologist, 23
Elke Weber, D. Hilton (1990)
Contextual Effects in the Interpretations of Probability Words: Perceived Base Rate and Severity of Events
T. Wallsten, S. Fillenbaum, J. Cox (1986)
Base rate effects on the interpretations of probability and frequency expressionsJournal of Memory and Language, 25
Ruth Beyth-Marom (1982)
How probable is probable? A numerical translation of verbal probability expressionsJournal of Forecasting, 1
H. Peters, Gabriele Albrecht, L. Hennen, Hans Stegelmann (1990)
‘Chernobyl’ and the nuclear power issue in West German public opinionJournal of Environmental Psychology, 10
D. Budescu, T. Wallsten (1985)
Consistency in interpretation of probabilistic phrasesOrganizational Behavior and Human Decision Processes, 36
Eric Johnson, A. Tversky (1984)
Representations of perceptions of risksJournal of Experimental Psychology: General, 113
T. McDaniels (1988)
Chernobyl's Effects on the Perceived Risks of Nuclear Power: A Small Sample TestRisk Analysis, 8
D. Stone, D. Schkade (1991)
Numeric and linguistic information representation in multiattribute choiceOrganizational Behavior and Human Decision Processes, 49
K. Teigen (1988)
The language of uncertaintyActa Psychologica, 68
D. Budescu, S. Weinberg, T. Wallsten (1988)
Decisions based on numerically and verbally expressed uncertainties.Journal of Experimental Psychology: Human Perception and Performance, 14
Englander Englander, Farago Farago, Slovic Slovic, Fishhoff Fishhoff (1986)
A comparative analysis of risk perception in Hungary and the United StatesSocial Behavior, 1
R. Simpson (1963)
Stability in meanings for quantitative terms: A comparison over 20 yearsQuarterly Journal of Speech, 49
Simpson Simpson (1963)
Stability in meanings of certain terms indicating differing degrees of frequencyQuarterly Journal of Speech, 49
Robert Reagan, Frederick Mosteller, C. Youtz (1989)
Quantitative meanings of verbal probability expressions.The Journal of applied psychology, 74 3
Two studies demonstrated that identical numerical probabilities of the occurrence of hazards are judged as higher when these involve potential catastrophes compared to noncatastrophic hazards. Fifteen hazards were presented that involve a potential catastrophe and 15 noncatastrophic hazards. Each hazard was given a numerical probability, which was either 1:10, 1:1,000, or 1:100,000. Numerical probabilities were rated as larger when these concerned hazards that have catastrophe potential compared to the noncatastrophic hazards, also when this effect was controlled for perceived benefits. Similar results were obtained in a second study, which controlled for possible confounds (e.g., base rate). The results suggest that verbal interpretations of numerical probabilities of the occurrence of hazards include more than only probability, for instance one's attitude toward the hazardous activity. Implications for risk communication are discussed.
Journal of Applied Social Psychology – Wiley
Published: Aug 1, 1997
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.